51 research outputs found

    Smart sensing for mineral exploration through to mine closure

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    This presentation provides an overview of advanced sensing systems to monitor various aspects of mining operations from mineral explorations through to mine closures. A review of the case studies utilising multispectral, hyperspectral, thermal, LiDAR and RADAR sensors, in both surface and underground mines, is highlighted with the associated capabilities and challenges. The examples include sensors mounted on satellites, aircrafts and more recently Unmanned Aerial Vehicles (UAVs)/drones. Monitoring for socio-environmental aspects of mining at regional and site levels are outlined. The appropriateness of a sensor-platform combination has been found critical for different applications in mining. Finally, an integrated intelligent sensor system network is projected for a futuristic mine vision

    Robots in Flight (Interview for the front page story in the Australian Mining Review Magazine)

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    Front page story in the magazin

    Simit language extensions with applications to lattice QCD

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    Thesis: M. Eng. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 155-160).This thesis presents language extensions to Simit, a language for linear algebra on graphs. Currently, Simit doesn't efficiently handle lattice graphs (regular grids). This thesis defines a stencil assembly construct to capture linear algebra on these graphs. A prototype compiler with a Halide backend demonstrates that these extensions capture the full structure of linear algebra applications operating on lattices, are easily schedulable, and achieve comparable performance to existing methods. Many physical simulations take the form of linear algebra on lattices. This thesis reviews Lattice QCD as a representative example of such a class of applications and identifies the structure of the linear algebra involved. In this application, iterative inversion of the Dirac matrix dominates the runtime, and time-intensive hand-optimization of inverters for specific forms of the matrix limit further research. This thesis implements this computation using the language extensions, while demonstrating competitive performance to existing methods.by Gurtej Kanwar.M. Eng. in Computer Science and Engineerin
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